https://github.com/koda7/poker_analytics

Deployed Application - Implemented hand strength estimation, hand potential, and effective hand strength functions for NLH poker. Also, created Monte Carlo functions for preflop hand analysis.
https://github.com/koda7/poker_analytics

enumeration monte-carlo-simulation poker python

Last synced: 7 days ago
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Deployed Application - Implemented hand strength estimation, hand potential, and effective hand strength functions for NLH poker. Also, created Monte Carlo functions for preflop hand analysis.

• Host: GitHub
• URL: https://github.com/koda7/poker_analytics
• Owner: Koda7
• Created: 2024-10-23T03:08:24.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-23T15:00:46.000Z (3 months ago)
• Last Synced: 2024-11-15T21:33:34.572Z (2 months ago)
• Topics: enumeration, monte-carlo-simulation, poker, python
• Language: Python
• Homepage: https://pokeranalytics-production.up.railway.app/
• Size: 11.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Poker-Analytics (Deployed)

## Description 

- A direct implementation of **hand strength estimation**, **hand potential**, and **effective hand strength** functions for hands in No-Limit Hold’em (NLH) poker using **enumeration methods** in Python (information taken from [this paper](https://cdn.aaai.org/AAAI/1998/AAAI98-070.pdf))

- Developed Monte Carlo simulation-based functions for preflop hand analysis with a 3% margin of error and generated visualizations to display results

- The Deuces library has been used for for game simulation, hand evaluation etc.

Refer to `poker_report.pdf` for comprehensive information on all of the material and explanation of the code written for this project

## View App

https://pokeranalytics-production.up.railway.app/